PRIORITIZING AD REVIEWS, BY USING EXPECTED REVENUE FOR EXAMPLE, IN AN ADVERTISING SYSTEM

摘要

Ads are reviewed manually once they have reached a certain expected revenue threshold (instead of attempting to review manually all incoming ads as was done in the past). This review process considers the fact that the many advertisers submit hundreds or even thousands of ads with each individually returning relatively little revenue. Such a review process should greatly reduce the number of ads, or at least to prioritize the order of ads, pending manual approval. The threshold may be set to the approximate cost of manually approving an ad, thereby reducing ad reviews pending manual review significantly. A classification of the ad (e.g., forbidden, suspicious, unchecked, an ad category, etc.), which may be determined by automated means for example, may also be used when prioritizing the order of ads pending manual approval. Revenue-based scores may also be used to control a review of an advertisement. For example, such scores may be used to select one of a plurality of review protocols.